Comparing reading processes on e-ink displays and print. - Eva Siegenthaler; Pascal Wurtz; Per Bergamin; Rudolf Groner (Displays, 2011)

Simple and Effective: An Adaptive Instructional Design for Mathematics Implemented in a Standard Learning Management System. - Matthias Holthaus; Franziska S. Hirt; Per Bergamin (CHIRA, 2018)

Is Reading Mirrored in the Face? A Comparison of Linguistic Parameters and Emotional Facial Expressions. - Egon Werlen; Ivan Moser; Christof Imhof; Per Bergamin (SwissText, 2018)

A comparison of students' emotional self-reports with automated facial emotion recognition in a reading situation. - Franziska S. Hirt; Ivan Moser; Egon Werlen; Christof Imhof; Per Bergamin (TEEM, 2018)

The Reader's Feeling and Text-based Emotions: The Relationship between Subjective Self-reports, Lexical Ratings, and Sentiment. - Egon Werlen; Fernando Benites; Christof Imhof; Per Bergamin (SwissText, 2019)

Measuring emotions during learning: lack of coherence between automated facial emotion recognition and emotional experience. - Franziska S. Hirt; Egon Werlen; Ivan Moser; Per Bergamin (Open Comput. Sci., 2019)

Work-in-Progress - Designing a Multi-User Virtual Reality Environment for Conversational Skills Training of Dietetic Students. - Ivan Moser; Per Bergamin (iLRN, 2020)

Group Decision-Making in Multi-User Immersive Virtual Reality. - Ivan Moser; Sandra Chiquet; Sebastian K. Strahm; Fred W. Mast; Per Bergamin (Cyberpsychology Behav. Soc. Netw., 2020)

Emotions in the parliament: Lexical emotion analysis of parliamentarian speech transcriptions. - Egon Werlen; Christof Imhof; Per Bergamin (SwissText, 2021)

A Machine Learning Resource Allocation Solution to Improve Video Quality in Remote Education. - Ioan-Sorin Comsa; Andreea Molnar; Irina Tal; Per Bergamin; Gabriel-Miro Muntean; Cristina Hava Muntean; Ramona Trestian (IEEE Trans. Broadcast., 2021)

Work-in-Progress-Motion Tracking Data as a Proxy for Cognitive Load in Immersive Learning. - Ivan Moser; Ioan-Sorin Comsa; Behnam Parsaeifard; Per Bergamin (iLRN, 2022)

Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors. - Martin Hlosta; Christothea Herodotou; Tina Papathoma; Anna Gillespie; Per Bergamin (Comput. Educ. Artif. Intell., 2022)

The Future of Technology-Based Learning at the Open University of Tanzania. - Victoria Mirata; Christopher Awinia; Ernest Godson; Per Bergamin (Int. J. Emerg. Technol. Learn., 2022)

Improved Quality of Online Education Using Prioritized Multi-Agent Reinforcement Learning for Video Traffic Scheduling. - Ioan-Sorin Comsa; Andreea Molnar; Irina Tal; Christof Imhof; Per Bergamin; Gabriel-Miro Muntean; Cristina Hava Muntean; Ramona Trestian (IEEE Trans. Broadcast., 2023)

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models. - Christof Imhof; Ioan-Sorin Comsa; Martin Hlosta; Behnam Parsaeifard; Ivan Moser; Per Bergamin (IEEE Trans. Learn. Technol., 2023)

Approximating eye gaze with head pose in a virtual reality microteaching scenario for pre-service teachers. - Ivan Moser; Martin Hlosta; Per Bergamin; Umesh Ramnarain; Christo van der Westhuizen; Mafor Penn; Noluthando Mdlalose; Koketso Pila; Ogegbo Ayodele (LAK Workshops, 2024)

Exploring pre-service teachers' intentions of adopting and using virtual reality classrooms in science education. - Ayodele Abosede Ogegbo; Mafor Penn; Umesh Ramnarain; Oniccah Pila; Christo van der Westhuizen; Noluthando Mdlalose; Ivan Moser; Martin Hlosta; Per Bergamin (Educ. Inf. Technol., 2024)

Will they or won't they make it in time? The role of contextual and behavioral predictors in reaching deadlines of mandatory assignments. - Christof Imhof; Martin Hlosta; Per Bergamin (LAK, 2025)

Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education. - Behnam Parsaeifard; Christof Imhof; Tansu Pancar; Ioan-Sorin Comsa; Martin Hlosta; Nicole Bergamin; Per Bergamin (CoRR, 2025)

Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models. - Behnam Parsaeifard; Martin Hlosta; Per Bergamin (CoRR, 2025)

SCAR: State-Space Compression for AI-Driven Resource Management in 6G-Enabled Vehicular Infotainment Systems. - Ioan-Sorin Comsa; Purav Shah; Karthik Vaidhyanathan; Deepak Gangadharan; Christof Imhof; Per Bergamin; Aryan Kaushik; Gabriel-Miro Muntean; Ramona Trestian (CoRR, 2025)

Performance expectancy and social influence drive the acceptance of immersive virtual reality for professional collaboration. - Axel Merz; Ivan Moser; Per Bergamin (Virtual Real., 2025)